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Engineering a Model Cell for Rational Tuning of GPCR Signaling
- Source :
- 796.e27
- Publication Year :
- 2018
-
Abstract
- G protein-coupled receptor (GPCR) signaling is the primary method eukaryotes use to respond to specific cues in their environment. However, the relationship between stimulus and response for each GPCR is difficult to predict due to diversity in natural signal transduction architecture and expression. Using genome engineering in yeast, we constructed an insulated, modular GPCR signal transduction system to study how the response to stimuli can be predictably tuned using synthetic tools. We delineated the contributions of a minimal set of key components via computational and experimental refactoring, identifying simple design principles for rationally tuning the dose response. Using five different GPCRs, we demonstrate how this enables cells and consortia to be engineered to respond to desired concentrations of peptides, metabolites, and hormones relevant to human health. This work enables rational tuning of cell sensing while providing a framework to guide reprogramming of GPCR-based signaling in other systems.
- Subjects :
- Gene Expression
Pheromones
Receptors, G-Protein-Coupled
SACCHAROMYCES-CEREVISIAE
Synthetic biology
0302 clinical medicine
MATING PATHWAY
BETA-GAMMA COMPLEX
11 Medical and Health Sciences
GENE-EXPRESSION
G alpha subunit
0303 health sciences
cell-to-cell communication
PROTEIN-COUPLED-RECEPTOR
PHEROMONE RESPONSE PATHWAY
Signal transduction
ALPHA-SUBUNIT
Genetic Engineering
Life Sciences & Biomedicine
Signal Transduction
Biochemistry & Molecular Biology
Cell signaling
Saccharomyces cerevisiae Proteins
FUNCTIONAL EXPRESSION
Computational biology
Saccharomyces cerevisiae
Biology
biosensor
General Biochemistry, Genetics and Molecular Biology
Genome engineering
03 medical and health sciences
cell signaling
Humans
YEAST
G protein-coupled receptor
Transcription factor
030304 developmental biology
Science & Technology
business.industry
Cell Biology
06 Biological Sciences
Modular design
synthetic biology
genome engineering
business
030217 neurology & neurosurgery
KINASE CASCADE
Developmental Biology
Transcription Factors
Subjects
Details
- ISSN :
- 10974172
- Volume :
- 177
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Cell
- Accession number :
- edsair.doi.dedup.....7d08c54c045f1d4f445ab04c503951ea